Machine structured plan description

ABSTRACT

A plan authoring tool can receive user input describing parameters of benefits of a benefit plan. The plan authoring tool can convert the user input into a machine structured plan description (MSPD) that defines the benefit plan. The MSPD can be used by a plan documentation generator to generate one or more plan documents that explain the benefits and/or indicate how to manually adjudicate claims submitted in association with the benefit plan. The MSPD can also be used to automatically adjudicate claims. Plan analysis tools can be used to evaluate an MSPD to validate a new or edited benefit plan and/or provide user feedback on the benefit plan so that users, if desired, can revise the MSPD via the plan authoring tool.

PRIORITY

This application is a continuation of, and claims priority to, U.S.patent application Ser. No. 16/107,262, filed on Aug. 21, 2018 andentitled “MACHINE STRUCTURED PLAN DESCRIPTION” the entire contents ofwhich are incorporated herein by reference.

BACKGROUND

Administrators can offer and manage benefit plans that provide one ormore benefits to plan participants. For example, a benefit plan can be ahealth plan that offers benefits that fully or partially cover the costof certain medical services for plan participants. In some examples, anadministrator can be a third party that administers a benefit plan onbehalf of a sponsor, such as an employer that offers health plans to itsemployees via the administrator.

The benefits of a particular benefit plan can be explained to planparticipants, potential plan participants, sponsors, personnel of theadministrator, and/or other audiences through various types ofdocuments. Claims submitted by providers or by plan participants can beadjudicated by the administrator according to the benefits of thebenefit plan. For example, the administrator can adjudicate a claim todetermine whether to approve or deny the claim, as well as to determinecost sharing parameters of an approved claim, such as how much of thecost of a covered service should be paid by the plan participant and howmuch should be paid by the sponsor.

BRIEF DESCRIPTION OF THE DRAWINGS

The detailed description is set forth with reference to the accompanyingfigures. In the figures, the left-most digit(s) of a reference numberidentifies the figure in which the reference number first appears. Theuse of the same reference numbers in different figures indicates similaror identical items or features.

FIG. 1 depicts an example environment of a plan administration systemthat can create and use a machine structured plan description (MSPD).

FIG. 2 depicts an example data structure for an MSPD.

FIGS. 3A-3D depict elements of an example MSPD for a health plan.

FIG. 4 depicts a plan authoring tool being used to generate an MSPD.

FIG. 5 depicts one or more plan analysis tools analyzing an MSPD.

FIG. 6 depicts a plan documentation generator using an MSPD and one ormore templates to generate one or more plan documents.

FIG. 7 depicts claim adjudication tools being used to adjudicate aclaim.

FIG. 8 depicts interpretation of an MSPD into a list ofcomputer-readable instructions by an automatic adjudication system.

FIG. 9 illustrates an example system architecture for computing devicesthat can implement a plan administration system.

FIG. 10 depicts a flow chart of an example process for creating and/orediting a benefit plan defined by an MSPD.

FIG. 11 depicts a flow chart of an example process for generating plandocuments with the plan documentation generator based on an MSPD.

FIG. 12 depicts a flow chart of an example process for automaticallyadjudicating a claim with the automatic adjudication system.

DETAILED DESCRIPTION

A benefit plan can be a plan or policy that provides one or morebenefits or services to plan participants. In some examples, a benefitplan can be a health plan that provides plan participants with benefitsincluding coverage of one or more medical services. In other examples, abenefit plan can be a travel plan that offers various travel benefits, areal-estate lease, an investment portfolio plan, an employee perks andassistance plan, or any other type of plan or policy.

In some examples, an administrator can administer a benefit plan onbehalf of a sponsor. For example, a sponsor can be an employer thatoffers a health plan to its employees, and the administrator can be athird-party entity that provides plan documentation to plan participantsand potential plan participants of the health plan, as well asadjudicating claims against the health plan that have been submitted byplan participants or by medical providers. In other examples, thesponsor can be an insurance company or any other entity that offers abenefit plan, but uses a third-party administrator to administer thebenefit plan. In still other examples, the administrator can itself bean insurance company or other entity that directly offers a benefitplan.

Claims can be filed by various parties against a benefit plan to trackusage of benefits, to have the administrator determine whether aprovided service is covered by the benefit plan, to have theadministrator determine a cost sharing arrangement between parties for aprovided service, and/or for other reasons. For example, a sponsor of abenefit plan may submit claims in order to track how benefits are beingused by plan participants. In some cases, such sponsor-submitted claimscan be submitted to help keep track of how certain benefits are beingused by plan participants, and accordingly may be submitted as zerodollar value claims. In other cases, such sponsor-submitted claims canbe submitted to determine a cost-sharing arrangement between the sponsorand a plan participant for a particular provided service. Claims canalso include claims submitted by service providers that have renderedservices to plan participants. Such service providers can includein-network providers associated with the benefit plan and out-of-networkproviders that are not associated with the benefit plan, such that planparticipants may be liable for a higher portion of the cost of a serviceprovided by an out-of-network provider. Claims can also be submitted byplan participants to request reimbursement of costs paid to obtainservices.

When a claim is submitted, the administrator can adjudicate the claim todetermine whether to approve or deny the claim. If the claim isapproved, the administrator may determine a cost sharing arrangementbetween the plan participant and a sponsor or another entity associatedwith the benefit plan. In some examples, administrator personnel canmanually adjudicate claims, although an administrator may also haveautomatic claims adjudication systems that can be configured toadjudicate claims according to particular benefit plans.

For example, when the benefit plan is a health plan, a medical providerthat has rendered services to a plan participant can file a claimagainst the health plan for the cost of those services. Theadministrator can then adjudicate the claim. For instance, as part ofthe adjudication, the administrator may determine that the planparticipant is liable for paying 20% of the cost of the services, whilethe health plan's sponsor should pay the remaining 80%.

As another example, when the benefit plan is a real-estate lease inwhich a landlord provides various benefits to a tenant in exchange forrent payments according to the benefit plan, a claim can be a request bya tenant for reimbursement of a repair cost. In this example, theadjudication can involve determining how much of the repair cost is tobe reimbursed by the landlord and how much is to be borne by the tenant.As yet another example, when the benefit plan is a travel clubmembership plan, a claim can be a request by a plan participant to booka hotel room at a discounted rate, and the adjudication can involvedetermining how much of the hotel room's full rate is to be paid by theplan participant and how much is to be paid by a sponsor.

An administrator can create plan documents that explain elements of abenefit plan to one or more audiences, including plan participants,potential plan participants, sponsors, providers, administratorpersonnel, and other entities. For example, potential plan participantscan use documentation about a benefit plan to decide whether the benefitplan provides sufficient coverage for their individual needs. As anotherexample, existing plan participants can use documentation about abenefit plan to determine the scope of their coverage and/or determineif certain services are covered by the benefit plan. As yet anotherexample, administrator personnel can internally use documentation abouta benefit plan to manually determine whether a claim filed against thebenefit plan should be approved or denied, and/or to manually determineif a plan participant is liable for a portion of the cost of a serviceidentified in the claim.

By way of various non-limiting examples, plan documents can include asummary of plan description (SPD), a summary of benefits coverage (SBC),content for websites and applications that explain benefits of a benefitplan to existing plan participants or to potential plan participants(e.g., during an enrollment period, etc.), and/or any other type of plandocument. As noted above, plan documents produced by an administratorcan also include internal documents that explain elements of the samebenefit plan to the administrator's own personnel, such as documentsthat describe procedures and rules for adjudicating claims associatedwith the benefit plan.

Conventionally, one or more individuals create the terms and conditionsof a benefit plan, such as individuals working for an administratorand/or a sponsor. For example, in some conventional systems, personnelof an administrator can input details of a draft benefit plan into aform, such as a spreadsheet or other document that describes coveredbenefits, cost sharing parameters associated with those benefits,eligibility criteria, and other information. The administrator can thensend the form containing the details of the draft benefit plan to a plansponsor for review and approval, such that the administrator and thesponsor can collaborate on the creation of a benefit plan.

However, in conventional systems, after a new benefit plan has beenapproved, many different individuals may need to independently interpretthe benefit plan's details. For example, different individuals invarious teams can be tasked with creating plan documents that explain orinterpret the exact same benefits in different ways for differentaudiences and/or different independent systems, such as documents forplan participants, potential plan participants, sponsors, providers,claims adjudicators, customer service personnel, consultants, and anyother entities, as well as multilingual translations of such documents.Additionally, various programmers may need to interpret the same benefitplan to create portals or other websites that explain the benefit plan'sbenefits to one or more of these disparate audiences, or to programautomatic adjudication systems that adjudicate claims according to thebenefit plan's benefits. Moreover, administrators may administermultiple benefit plans across disparate clients, plan benefits, planrules, plan memberships, and jurisdictions, further compounding theseissues.

Unfortunately, some benefit plans can be enormously complex anddifficult to describe using conventional systems. For example, somehealth plans can include hundreds of interrelated benefits and complexcost-sharing and accounting mechanisms, such that a particular servicemay or may not be covered for a particular plan participant based ondeductible limits or various accumulators. Accordingly, having manypeople manually produce documents and code according to their owninterpretations of the same benefit plan is not only laborious, but canalso introduce risks due to inconsistent and potentially inaccurateinterpretations, misunderstandings, and/or human error. For example, ifdifferent authors interpret the same benefit in different ways, thedifferent plan documents they produce may explain the same benefitinconsistently, and/or may be inconsistent with applicable legalstandards or the intent of the plan sponsor. Human error can also causeplan documents to be incorrectly or inconsistently described or applied,and/or cause automated claims adjudication systems to be codedincorrectly or inconsistently with respect to benefits of a benefitplan. These issues can create confusion and frustration when differentor erroneous information is conveyed to different audiences, cause timeconsuming and expensive errors in claims adjudication, cause errors inreimbursement for claims, and other problems.

Manually fixing such inconsistencies and resolving such problems betweenindependent systems can be expensive and time consuming for theadministrator as administrators must typically employ teams ofprofessionals and legal counsel to address inconsistencies in plandescription, interpretation, and application. Furthermore, manuallycorrecting such inconsistencies and resolving such problems can requiresignificant manual and/or computational resources, for instance if hardcoded automatic adjudication systems must be reprogrammed.

Similarly, in conventional systems it can be expensive, laborious, andtime consuming for an administrator to update plan documents andautomated systems when an existing benefit plan is updated, such as whena health plan is updated annually or at any other time. For example,many conventional automated claims adjudication systems and planwebsites are hard coded to reflect the benefits of a particular benefitplan or type of benefit plan. Not only does this require programmers tohard code multiple different automatic claims adjudication systems andwebsites for multiple different benefit plans or types of benefit plans(requiring significant manual and computational effort), when aparticular benefit plan is updated, the corresponding automatic claimsadjudication system and websites also need to be manually reprogrammed.Similarly, any previously produced plan documents associated with anupdated benefit plan, such as other electronic and printed documents,may need to be edited to reflect updated information. These laboriousprocesses must be repeated for every individual benefit plan that isupdated. This introduces risk of error and liability if different plandocuments are inconsistently updated, or if plan documents are updatedat different times.

Due to the time, effort, cost, risk of error, computational resources,and business resources described above that may be needed to create andupdate systems and plan documents for benefit plans across multiple plansponsors in conventional systems, many conventional systems may not ableto keep up with desires of sponsors to offer flexible benefit plans thatcan be quickly updated or customized. For example, a sponsor may want toupdate a benefit plan to offer a more attractive package of benefits toplan participants, such as a benefit plan that includes non-traditionalbenefits or that better integrates with certain third-party serviceproviders, or that updates benefits to cover access to durable medicalequipment that was not previously covered by the benefit plan but wouldprovide savings to the sponsor even if that change has little perceivedvalue to plan participants. However, as described above, conventionallycreating or updating a benefit plan to include such new or updatedbenefits is typically a time consuming, expensive, and error-proneprocess.

Accordingly, what is needed are automatic systems and processes foraccurately and quickly creating and updating benefit plans,corresponding plan documentation, and automatic claims adjudicationsystems, such that information about the benefits covered by a benefitplan is consistently and accurately reflected in plan documents formultiple audiences and in the automatic claims adjudication systems.

Described herein are systems and processes by which a benefit plan canbe defined by data stored in a machine structured plan description(MSPD). An MSPD can express elements of a benefit plan using a domainspecific language, and the MSPD can be formatted such that it is machinereadable. For example, the MSPD can include a collection of JavaScriptObject Notation (JSON) objects. In some cases, although the domainspecific language may not express information about a benefit plan innatural language, some or all of the elements of an MSPD may also behuman readable.

Information in an MSPD that defines a benefit plan can be used toautomatically create plan documents, as well as to automaticallyadjudicate claims associated with that benefit plan. Because automaticgeneration of the plan documents and automatic claims adjudication canbe performed based on the same underlying information about a benefitplan stored in the same MSPD, each operation can be consistent. Forexample, multiple plan documents can be automatically produced fordifferent audiences or purposes based on data in the same MSPD. Becauseeach plan document can be generated automatically from the sameunderlying data, each generated plan document can describe benefitsconsistently and can be applied consistently. This can reduce riskscaused by the potential for human error during manual generation of plandocuments, can lower the cost of generating plan documents, and can alsoreduce the time needed to produce such documents. Additionally, if theinformation about a benefit plan is updated in an MSPD, updated plandocuments can be automatically generated that accurately andconsistently explain the updated information. An automatic claimsadjudication system can also base its decisions on benefit informationin the same MSPD that is used to automatically generate plan documents,and accordingly claims can be automatically adjudicated in a manner thatis consistent with how the automatically generated plan documentsexplain benefits. Accordingly, use of an MSPD can significantly reducethe potential risk, error, time, and cost associated with conventionallycreating, updating, and/or applying benefit plans.

Information about a benefit plan stored in an MSPD can also be used toautomatically simulate potential outcomes of that benefit plan, usingthe MSPD as a single source of truth for modeling computations whichwould otherwise need to be separately and manually hard-coded for eachvariant of the benefit plan. Accordingly, an administrator can prepare anew or updated benefit plan by editing information stored in an MSPDuntil simulation results are deemed acceptable. Different variants of abenefit plan can also be tested by simulating the performance of MSPDsthat contain different parameters. The simulations of a draft benefitplan defined by an MSPD can be highly accurate and well-correlated tothe administrator's changes, because the simulations can use the sameunderlying MSPD that would be used to generate plan documents and toadjudicate claims if that draft benefit plan were adopted.

Generating an MSPD that defines a benefit plan, and using that MSPD toboth generate plan documents and to automatically adjudicate claims canoffer significant benefits relative to conventional benefit adjudicationsystems. As mentioned above, producing plan documents based on theinterpretations of many different human authors can introduceinconsistencies to the administration of benefit plans. However,generating multiple plan documents from the same underlying MSPD canhelp ensure that all of the plan documents express consistentinformation in human readable form. Also as mentioned above, automaticadjudication systems have conventionally been hard coded for specificbenefit plans or specific types of benefit plans, which can beproblematic because a programmer may have a different interpretation ofa benefit plan than the author of corresponding plan documents, andbecause updating and maintaining multiple automatic adjudication systemscan be time consuming, error prone, and use a large amount of manualand/or computational resources. However, MSPDs can allow the sameautomatic adjudication system to be flexible and support many differentbenefit plans without being recoded, which can significantly reduce thetime, cost, and complexity associated with such an automaticadjudication system. For example, the same automatic adjudication systemcan adjudicate claims based on any benefit plan defined by an MSPD. Theautomatic adjudication system's use of an MSPD can also help ensure thatall claims under a benefit plan are automatically adjudicated in amanner that is consistent with how benefits are explained in plandocuments created from that MSPD.

Example Environments

FIG. 1 depicts an example environment of a plan administration system100 that can create and use a machine structured plan description (MSPD)102. An MSPD 102 can be a data structure that stores information about abenefit plan that is, or will be, provided and/or managed by anadministrator. As described above, a benefit plan can be a plan orpolicy that provides one or more benefits or services to planparticipants. In various examples, a benefit plan can be a health plan,a real-estate lease, a travel benefit plan, an investment portfolioplan, or any other type of plan or policy. In particular, an MSPD 102can contain information that both indicates benefits provided to planparticipants under the corresponding benefit plan, as well as indicatingrules or instructions for how to adjudicate claims associated with thosebenefits.

An MSPD 102 can be created using a plan authoring tool 104. For example,a user working for the administrator or for a sponsor can use the planauthoring tool 104 to determine the benefits offered by a benefit plan,create a new benefit plan, or edit an existing benefit plan, and theplan authoring tool 104 can output an MSPD 102 that defines the new oredited benefit plan. One or more plan analysis tools 106 can validatethe benefit plan defined by an MSPD 102 and/or perform simulations todetermine expected outcomes associated with that benefit plan, andprovide corresponding so that any desired modifications can be made tothe benefit plan using the plan authoring tool 104 based on thefeedback. The plan documentation generator 108 can generate one or moretypes of plan documents based on the MSPD 102 that consistently andaccurately describe aspects of the benefit plan to plan participants,potential plan participants, personnel of the administrator, personnelof a sponsor, and/or any other audience. When claims are submittedagainst a benefit plan to the administrator, the claims can beadjudicated through one or more claim adjudication tools 110. The claimadjudication tools 110 can be used to automatically, or manually,adjudicate claims according to adjudication rules or instructionsindicated by data in an MSPD 102. The MSPD 102, the plan authoring tool104, the plan analysis tools 106, the plan documentation generator 108,and the claim adjudication tools 110 are described in more detail below.

FIG. 2 depicts an example data structure for an MSPD 102. An MSPD 102can arrange data in a serialized data structure that includes one ormore plan objects 202. Each plan object 202 can include one or moreattributes 204 that describe specific elements of a benefit plan definedby the MSPD 102. Attributes 204 can express information about a planobject 202, such as an identifier for the plan object 202, informationidentifying other related plan objects 202 within the same MSPD 102, andinformation about how a claim that is associated with the plan object202 should be adjudicated.

In some examples, an attribute 204 of a plan object 202 can itself beanother plan object 202 that has its own attributes 204. This allowsplan objects 202 of an MSPD 102 to be nested within each other usingparent-child relationships at multiple levels within a directorystructure. For example, FIG. 2 shows a child plan object 202C nested asan attribute 204B(1) of parent plan object 202B. Child plan object 202Ccan in turn have its own attributes 204C, which in some cases can belower level child plan objects 202. In some examples, attributes 204 ofa parent plan object 202 can apply to that plan object 202 as well asany of its child plan objects 202. However, in some cases attributes 204of lower level plan objects 202 can be more specific to those lowerlevel plan objects 202 and/or can override information stored inattributes 204 of higher level plan objects 202.

An MSPD 102 can store plan objects 202 and their attributes 204 asobjects in a data structure. In some examples, an MSPD 102 can be storedusing JavaScript Object Notation (JSON), in which plan objects 202 arestored as JSON objects, with their attributes 204 being are stored asname-value pairs of the JSON objects. In some cases, name-value pairscan include multiple values associated with the same name. In otherexamples, the object data in an MSPD 102 can be stored using any otherformat, such as Extensible Markup Language (XML) or YAML.

An MSPD's plan objects 202 and their attributes 204 can be representedusing a domain specific language (DSL) that expresses semanticinformation about the associated benefit plan that can be used duringautomatic operations of tools including the plan authoring tool 104, theplan analysis tools 106, the plan documentation generator 108, and theclaim adjudication tools 110 described below. For example, the claimadjudication tools 110 can include an interpreter or compiler that canuse preconfigured code to convert the plan objects 202 and attributes204 of any MSPD 102 expressed in the DSL into a set of rules forautomatically adjudicating claims according to the benefit plan definedby the MSPD 102. As such, the same claim adjudication tools 110 can beconfigured to adjudicate claims based on any benefit plan withoutrecoding the claim adjudication tools 110 by interpreting differentMSPDs 102. This can save significant time and effort involved inconventional systems when benefit plans are created or updated andcorresponding hard coded claim adjudication tools would need to bereprogrammed.

FIGS. 3A-3D depict elements of an example MSPD 102 that defines a healthplan. In some examples, a health plan defined by an MSPD 102 can specifythat different benefits and/or cost sharing arrangements may apply to aplan participant at different coverage stages. For example, coveragestages for a health plan can include different cost-sharing stages aplan participant goes through during the course of a health plan year,including an open enrollment stage, a pre-deductible stage in whichdeductible limits have not yet been met, a post-deductible stage afterdeductible limits have been met, and a stage in which out-of-pocketmaximums have been met. Different cost sharing arrangements may apply todifferent coverage stages. For example, a plan participant may be liablefor the cost of all covered services during a coverage stage before adeductible has been reached, a coinsurance percentage during a differentcoverage stage after a deductible has been reached but before anout-of-pocket maximum has been reached, and no portion of the costduring a later coverage stage after reaching the out-of-pocket maximum,with a plan sponsor covering any portion of the cost for which the planparticipant is not liable.

To determine which coverage stage applies to a claim, an administratorcan track a plan participant's expenses throughout the term of a healthplan using one or more accumulators related to deductibles, out ofpocket maximums, and/or other limits. For example, an administrator cantrack accumulators for individual deductibles, family deductibles,individual out-of-pocket maximums, family out-of-pocket maximums,deductibles and/or maximums for in-network providers, deductibles and/ormaximums for out-of-network providers, and/or any other limit associatedwith a health plan. When an accumulator shows that a limit for aparticular coverage stage has been reached, the administrator canadjudicate a claim for a subsequent service at the next coverage stage.In some examples, a claim can be adjudicated based on cost sharingparameters at all potentially applicable coverage stages, but only applycost sharing parameters associated with those coverage stages whencorresponding accumulator limits have been met or are not met. Althoughaccumulators and coverage stages are described herein with respect tohealth plans, similar accumulators and coverage stages can be used inother types of benefit plans.

As shown in FIG. 3A, an MSPD 102 for a health plan can include differenttypes of plan objects 202, including network tier plan objects 302 thatdefine specific network tiers, accumulator plan objects 304 that definespecific accumulators, and cost sharing plan objects 306 that definespecific cost sharing parameters for specific services. The various planobjects 202 and attributes 204 of this example MSPD 102 can use a DSLdefined for health plans that, for example, expresses information aboutaccumulators and cost sharing parameters as well as the relationshipsbetween certain accumulators and cost sharing parameters for variousservices. This can allow plan objects 202 to be identified within theMSPD 102 that apply to a particular service at a particular coveragestage.

FIG. 3B depicts an example of the network tier plan object 302 shown inFIG. 3A. The network tier plan object 302 can include attributes 204indicating that the health plan has information relating to two networktiers: “inn” for an in-network tier, and “oon” for an out-of-networktier.” As will be explained below, accumulator plan objects 304 and/orcost sharing plan objects 306 can include attributes 204 that refer tosuch network tier attributes 204 in order to indicate those specificplan objects 202 apply to in-network coverage and not out-of-networkcoverage, or vice versa.

FIG. 3C depicts an example of the accumulator plan object 304 shown inFIG. 3A. The accumulator plan object's attributes 204 can include nestedchild plan objects 202 associated with specific accumulators associatedwith the health plan. For example, the parent accumulator plan object304 can include a first child accumulator plan object 308 withattributes 204 indicating that it is associated with a family in-networkdeductible, with specific deductible limits for a subscriber, asubscriber with one child, a subscriber with a spouse, and/or othercategories. The parent accumulator plan object 304 can also include asecond child accumulator plan object 310 with attributes 204 indicatingthat it is associated with a family in-network out-of-pocket maximum.The parent accumulator plan object 304 can further include a third childaccumulator plan object 312 with attributes 204 indicating that it isassociated with an individual out-of-network deductible. Here, the thirdchild accumulator plan object 312 can include attributes 204 identifyingrelated accumulator plan objects 304, for instance indicating that anyvalue applied to an accumulator for the individual out-of-networkdeductible should also be cross-accumulated to an individual in-networkdeductible, and that the individual out-of-network deductible isembedded within a family out-of-network deductible. For example, the“crossaccumulates_to” attribute 204 of the third child accumulator planobject 312 can include a triplet of attributes 204 including “name,”“network_tier,” and “owner_type” attributes 204, such that a differentaccumulator plan object 304 corresponding to a different accumulatoridentified by that triplet of attributes 204 can be identified withinthe MSPD 102. The parent accumulator plan object 304 can include anynumber of child accumulator plan objects 304 corresponding to differentaccumulators for different combinations of accumulator types or coveragestages, owner types, network tiers, and/or other parameters.

FIG. 3D depicts an example of the cost sharing plan object 306 shown inFIG. 3A. Multiple cost sharing plan objects 306 can be nested as childplan objects 202 within the cost sharing plan object 306 shown in FIG.3A, although only one is shown in FIG. 3D for brevity.

A particular cost sharing plan object 306 can include attributes 204regarding a particular service or benefit that is or is not covered by abenefit plan. For example, individual benefits that are covered or arenot covered by the health plan can be represented by different costsharing plan objects 306, such as a cost sharing plan object 306 foremergency services, another cost sharing plan object 306 for mentalhealth services, another cost sharing plan object 306 for prenatal careservices, and other cost sharing plan objects 306 for other servicesthat are covered or are not covered by a health plan. In some examples,the same service can be represented by different cost sharing planobjects 306 for different network tiers. For example, an MSPD 102 caninclude a first cost sharing plan object 306 for in-network emergencyservices, and also include a second cost sharing plan object 306 forout-of-network emergency services.

Attributes 204 of a particular cost sharing plan object 306 for abenefit can include attributes 204 that express a name or a code for amedical service associated with that benefit, that identify a networktier to which the cost sharing plan object 306 is applicable, thatidentify coinsurance, copay, or other cost sharing values, that identifyseparate accumulator plan objects 304 within the MSPD 102 that describeaccumulators that may be relevant to the benefit at one or more coveragestages, and/or other information. For example, a cost sharing planobject 306 can include a first attribute group 314 that includesattributes 204 applicable at one coverage stage, including triplets ofattributes 204 that identify separate accumulator plan objects 304 forout of pocket maximums and deductibles that may be applicable to thatcoverage stage, as well as a second attribute group 316 that includesother attributes 208 identifying accumulator plan objects 304 relevantto a different coverage stage.

An MSPD 102 can include plan objects 202 that express information aboutbenefits that are provided by a benefit plan, as well as informationabout benefits that are not provided by that benefit plan. This canallow the MSPD 102 to be unambiguous about which benefits the benefitplan does and does not cover. For example, an MSPD 102 for a health planthat does not cover bariatric surgery services can include a costsharing plan object 306 for bariatric surgery, but indicate in anattribute 204 of that cost sharing plan object 202 that the benefit planspecifically does not provide any coverage for bariatric surgery.

An MSPD 102 may include other types of plan objects 202 and/orattributes 204. For example, a plan object 202 can include attributes204 that define eligibility criteria for potential plan participants,such that characteristics of an individual who attempts to enroll in thebenefit plan can be checked against those attributes 204 to confirm thatthe individual is eligible to enroll. As another example, a plan object202 can include attributes 204 that indicate whether certain providersor types of providers are eligible to submit claims against a benefitplan.

The plan objects 202 of an MSPD 102 can be used by the tools discussedbelow to provide information to plan participants or other users aboutthe benefit plan defined by the MSPD 102, and/or can be used as rules toadminister claims associated with that benefit plan. For example, when aclaim is submitted by a medical provider for a particular medicalservice rendered to a plan participant, the claim can include a codecorresponding to a code in a cost sharing plan object 306. An automaticadjudication system 708 can accordingly look up that code to findmatching cost sharing plan objects 306, possibly deciding on anin-network or out-of-network version based on the identity of thesubmitting medical provider. The automatic adjudication system 708 canalso look up current values of accumulators associated with the planparticipant to determine his or her current coverage stage, and useinformation in the cost sharing plan object 306 to identify applicableaccumulator plan objects 304 that define deductibles, out-of-pocketmaximums, or other limits associated with that coverage stage.

FIG. 4 depicts a plan authoring tool 104 being used to generate an MSPD102. Unlike conventional systems, in which one or more users must authordocuments that describe a benefit plan, potentially inconsistentlyand/or inaccurately, the plan authoring tool 104 can generate a singleMSPD 102 that fully defines a benefit plan by expressing benefits thatare and are not covered with respect to one or more coverage stages. Aswill be discussed further below, the generated MSPD 102 can then be usedto quickly generate plan documents 604 that are accurate and consistentwith each other, as well as to automatically adjudicate claims in amanner consistent with how the benefits are explained in the plandocuments 604.

A plan authoring tool 104 can include a user interface (UI) throughwhich a user, such as personnel of an administrator or a plan sponsor,can provide user input 402 associated with one or more elements of abenefit plan. In some examples, the UI can allow a user to provide userinput 402 in a form that is understood by the user, and the planauthoring tool 104 can then translate the provided user input 402,and/or other information, into an MSPD 102 that defines the benefitplan. For example, when an MSPD 102 is being generated for a healthplan, the plan authoring tool 104 can display a UI to a user that allowsthe user to select options or provide other user input 402 related toone or more benefits that the health plan will or will not cover. Theplan authoring tool 104 can translate and store user input 402 as one ormore attributes 204 of one or more plan object 202 in an MSPD 102 usinga DSL, including accumulator plan objects 304 and cost sharing planobjects 306. As will be explained below, the output MSPD 102 can be usedto generate human readable plan documents 604, enables simulations to berun against the benefit plan options, and enables the benefit plan to beadministered consistently.

In some examples, the plan authoring tool's UI can include one or morecontrols, such as sliders, drop down menus, checkboxes, or any othertype of UI control, that can be manipulated by users to select betweenor adjust preconfigured options for user input 402. For example, the UIcan display a moveable slider that represents a financial risk levelassociated with a particular benefit, such that moving the slider in onedirection can lower a monthly cost but lower a coverage level accordingto preset values, while moving the slider in the other direction canincrease the monthly cost and increase the coverage level. In otherexamples, the UI can accept manual user input 402, such as text ornumerical input. For example, a user may be able to type in a desiredcopay amount for a particular coverage stage rather than selecting itfrom predefined options in the plan authoring tool's UI. In someexamples, the UI can present various preconfigured options for userinput 402, but also allow the user to manually adjust their user input402 away from those preconfigured options if desired.

In some examples, the plan authoring tool 104 can be configured with oneor more constraints 404 that restrict the types of user input 402 thatcan be accepted, define ranges of values that can be accepted in userinput 402, define which types of user input 402 are required or areoptional, and/or provide any other limits or restrictions on acceptableuser input 402. In some examples, the constraints 404 can be provided tothe plan authoring tool 104 as a configuration file or other type ofdata, such that the plan authoring tool 104 can be updated with new ordifferent constraints 404 without changing the plan authoring tool'scode or recompiling the plan authoring tool 104.

Constraints 404 provided to the plan authoring tool 104 can assist inensuring that the benefit plan defined by the MSPD 102 meets legalrequirements and/or requirements of the administrator. For example,legal requirements may require that a health plan cover mental healthservices at no cost to plan participants. Accordingly, constraints 404can be configured by a programmer or other entity such that the planauthoring tool 104 will not accept user input 402 that specifies a costto plan participants for mental health services. This can decrease therisks to administrators that an MSPD 102 generated by the plan authoringtool will be legally invalid, and also help avoid time and effort tore-author and/or re-code documents and systems for a benefit plan laterfound to be invalid. As another example, constraints 404 can reflect anadministrator's policy that coinsurance percentages for a certain typeof benefit at a certain coverage stage should not exceed 30%, andaccordingly the plan authoring tool 104 can use those constraints 404 toprevent sliders or other controls for user input 402 associated withthat coinsurance percentage from allowing users to select a percentageabove 30%. As another example, constraints 404 can indicate that medicalproviders associated with two specific medical networks can beassociated with a health plan instead of medical providers associatedwith twenty medical networks.

The plan authoring tool 104 can generate an MSPD 102 by translatingprovided user input 402, as limited by the constraints 404, intoattributes 204 of one or more plan objects 202. In some examples, theplan authoring tool 104 can be configured with a schema stack thattranslates the user input 402 into the object-based structure of an MSPD102. For example, when a user has provided user input 402 that definesparameters of a variety of benefits for services that are to be coveredor not covered by a new health plan, such as cost sharing parametersassociated with each of those benefits at one or more coverage stages,the plan authoring tool 104 can generate plan objects 202 withcorresponding attributes 204 and store them in an MSPD 102. The planauthoring tool 104 can translate any provided user input 402, or otherinformation about a service, into plan objects 202 and attributes 204that are represented using the DSL.

In some examples, the plan authoring tool 104 can have, or be providedwith, additional information that can be used to generate plan objects202 of an MSPD 102. For example, constraints 404 or another type ofconfiguration file can provide codes used by medical providers forvarious medical services. As such, while the plan authoring tool 104 mayrefer to a particular benefit for a medical service by name in its UIsuch that a user does not need to know the formal code for that servicewhen entering associated user input 402, the plan authoring tool 104 canuse information not directly provided by the user to store the code forthat service within an attribute 204 of a corresponding cost sharingplan object 306. This can significantly improves the speed and accuracyof data entry while reducing the risk of error associated with manualcode entry that is the hallmark of conventional methods of creating andupdating benefit plans.

The plan authoring tool 104 can output an MSPD 102 for a benefit plan,and the MSPD 102 can be stored in a database or other memory locationaccessible to the plan administration system 100. In some examples, astored MSPD 102 can be loaded back into the plan authoring tool 104 suchthat it can be edited based on new user input 402. As will be discussedbelow, in some cases a user can review a benefit plan defined by an MSPD102 based on information generated from the MSPD 102 by plan analysistools 106 and/or a plan documentation generator 108, and in responseprovide new user input 402 to adjust the MSPD 102 or to create a newversion of the MSPD 102. Accordingly, a stored MSPD 102 can define adraft benefit plan during creation or editing of the benefit plan, or afinal approved benefit plan that can be offered to potential planparticipants during an enrollment period or plan participants that haveenrolled in the benefit plan. In some examples, the plan authoring tool104 can also support version control and auditability for generatedMSPDs 102, such that users can review or roll back to older versions ofan MSPD 102 at any time or review how an MSPD 102 was generated.

FIG. 5 depicts one or more plan analysis tools 106 analyzing an MSPD102. A MSPD 102 output by the plan authoring tool 104 can be provided toone or more plan analysis tools 106, including a plan validation andrisk analysis tool 502 and a plan simulation and analysis tool 504. Anyor all of the plan analysis tools 106 can generate feedback 506, whichin some cases a user can review to determine if the user approves of thebenefit plan defined by the MSPD 102 or wants to make changes. Feedback506 can be generated as natural language text, graphs, charts, and/orinformation in any other format. In some examples, the feedback 506 canbe displayed to a user in a UI displayed by the plan administrationsystem 100. For instance, in some cases feedback 506 can be generated byplan analysis tools 106 after a new or edited MSPD 102 has been createdby a plan authoring tool 104, and the feedback 506 can be displayed inthe UI of the plan authoring tool 104 so that the user can review itand, if desired, make responsive changes within the plan authoring tool104 to adjust the MSPD 102. In other examples, feedback 506 can bedisplayed to a user in any other UI or in a separate document ormessage, such as an email sent to the user after the plan analysis tools106 have analyzed a new or edited MSPD 102. In still other examples,feedback 506 from the plan analysis tools 106 can be provided to theplan authoring tool 104 so that the plan authoring tool 104 canautomatically edit an MSPD 102 according to the feedback 506.

In some examples, plan analysis tools 106 can be provided withinformation generated by the claim adjudication tools 110, such asinformation about real claims submitted in the past to the claimadjudication tools 110 and/or results indicating how those real claimswere adjudicated through manual adjudication or via the automaticadjudication system 708 discussed below. Information about such realclaims can be provided by the claim adjudication tools 110 as data setsfor use by the plan analysis tools 106.

A plan validation and risk analysis tool 502 can identify redundantelements of an MSPD 102 and/or determine whether its plan objects 202and attributes 204 meet one or more validation conditions. Validationconditions can be configured to check that a benefit plan defined by anMSPD 102 is valid, complies with regulations, is free of semanticerrors, meets risk tolerance thresholds or other administrator policies,and/or meets any other condition.

Some validation conditions can be legal requirements, administratorrequirements, or plan sponsor requirements that a benefit plan must meetto be considered valid. While some of these requirements can be enforcedby disallowing initial user input 402 that would not meet thoserequirements according to constraints 404 at the plan authoring tool104, the plan validation and risk analysis tool 502 can also check thatan outputted MSPD 102 meets such requirements. For example, a particularrequirement may be violated by a semantic interaction between differentparameters of a benefit plan, even if the user input 402 provided foreach parameter met constraints 404 for those specific parametersindividually, and accordingly the plan validation and risk analysis tool502 can review the MSPD 102 for semantic errors or conflicts. Othervalidation conditions can relate to checking that a MSPD 102unambiguously indicates how to adjudicate claims associated with knownbenefits or services, and/or that plan objects 202 are internallyconsistent with each other within a particular MSPD 102.

For example, although constraints 404 may provide upper limits forout-of-pocket maximum values during initial entry of user input 402, theconstraints 404 may not prevent a user from entering an out-of-pocketmaximum for an individual that is higher than a correspondingout-of-pocket maximum for a family. Accordingly, the plan validation andrisk analysis tool 502 can be configured to determine whether a draftMSPD 102 has an individual out-of-pocket maximum that is higher than acorresponding family out-of-pocket maximum, and if so indicate that theMSPD 102 is invalid.

As another example, the plan validation and risk analysis tool 502 canloop through a list of any or all known benefits to verify that the MSPD102 contains a plan object 202 that indicates how to adjudicate claimsassociated with each benefit, even if the benefit plan defined by theMSPD 102 does not cover that benefit. If the plan validation and riskanalysis tool 502 identifies a known benefit that would not correspondto any of the MSPD's plan objects 202, such as any of its cost sharingplan objects 306, the plan validation and risk analysis tool 502 cangenerate feedback 506 identifying a risk that the MSPD 102 may notindicate how to adjudicate claims associated with that benefit.Similarly, if the plan validation and risk analysis tool 502 identifiesa benefit that would correspond to more than one cost sharing planobject 306, such that it is not clear which single cost sharing planobject 306 applies to that benefit, the plan validation and riskanalysis tool 502 can generate feedback 506 that indicates that the MSPD102 may be ambiguous about how to adjudicate claims associated with thatbenefit.

In some examples, a list of known benefits that the plan validation andrisk analysis tool 502 can use to validate that an MSPD 102unambiguously indicates whether or not all known benefits are coveredcan be at least partially based on information provided by claimadjudication tools 110 about real claims that have been submitted foradjudication in the past. This can allow MSPDs 102 to be validatedagainst ever increasing numbers of known benefits. For example, ifmedical providers begin submitting claims for a new type of medicalservice that is not covered by benefits represented in any plan object202 of an MSPD 102, the plan validation and risk analysis tool 502 candetermine that the MSPD 102 is ambiguous about how to adjudicate claimsfor that medical service. Accordingly, the plan validation and riskanalysis tool 502 can generate feedback 506 so that users can edit theMSPD 102 with the plan authoring tool 104 based on the feedback 506until the MPSD 102 unambiguously indicates whether or not the benefitplan includes a benefit covering that medical service.

Alternatively, in some examples the plan validation and risk analysistool 502 can automatically edit an MSPD 102 to include a new plan object202 associated with a previously unknown benefit, or provide feedback506 instructing the plan authoring tool 104 to add such a plan object202 automatically or based on new user input 402. In some cases, theplan validation and risk analysis tool 502 or plan authoring tool 104can use default values for attributes 204 of a new plan object 202 forthe new benefit, such as a code for the associated service provided inthe real claims and/or values for attributes 204 inherited from a parentplan object 202.

In some examples, the plan validation and risk analysis tool 502 canalso use adjudication results associated with actual past claimsreceived from the claim adjudication tools 110 as data sets for machinelearning that can determine risk levels associated with a benefit plandefined by a particular MSPD 102. These machine learning algorithms canimprove over time as additional claims adjudication results are receivedfrom the claim adjudication tools 110. In some examples, the planvalidation and risk analysis tool 502 can compare a determined risklevel associated with a benefit plan against a predefined risk tolerancethreshold, such that feedback 506 can be generated indicating whether ornot the determined risk level is above or below the predefined risktolerance threshold.

If the plan validation and risk analysis tool 502 outputs feedback 506indicating that an MSPD 102 did not pass one or more validationconditions or that indicates that risks associated with the benefit plandefined by that MSPD 102 are higher than a predefined risk tolerancethreshold, a user can use such feedback 506 to adjust the MSPD 102 withthe plan authoring tool 104 until it passes a check against thevalidation conditions and/or estimated risks associated with the benefitplan are below the predefined risk tolerance threshold. In otherexamples, the feedback 506 can include recommendations for editing theMSPD 102 that would likely cause the MSPD 102 to pass the validationconditions or lower the determined risk levels. For example, the planvalidation and risk analysis tool 502 can recommend changes for the planauthoring tool 104 that would cause the MSPD 102 to become valid or havea risk level that falls below a predefined risk tolerance threshold. Insome cases users can review such feedback 506 to edit the MSPD 102 withthe plan authoring tool 104, while in other cases the plan authoringtool 104 can automatically edit the MSPD 102 according to therecommendations provided in the feedback 506. As with other types offeedback 506, in some examples recommendations provided in the feedback506 can be determined by the plan validation and risk analysis tool 502using machine learning or any other technique.

The plan simulation and analysis tool 504 can perform automaticadjudications of simulated claims based on the MSPD 102. The plansimulation and analysis tool 504 can automatically adjudicate simulatedclaims using substantially the same processes that the automaticadjudication system 708 discussed below uses to adjudicate real claims.Accordingly, the plan simulation and analysis tool 504 can simulate howreal claims would actually be adjudicated in the policy administrationsystem 100 according to the MSPD 102 at a high degree of accuracy.Results of these simulations, including forecasts of a how a benefitplan defined by an MSPD 102 will perform, can be included in feedback506.

In some examples, the plan simulation and analysis tool 504 can performits simulations based on simulated claims generated at random or usingany other method, without basing the simulated claims on actual claims.However, in other examples the plan simulation and analysis tool 504 canuse data provided by the claim adjudication tools 110 about real claimssubmitted in the past when generating new simulated claims and/orperforming the simulations. As one example, the plan simulation andanalysis tool 504 can perform simulations that automatically adjudicatereal claims submitted in the past according to a newly generated MSPD102. As another example, the plan simulation and analysis tool 504 canalter parameters of past real claims to generate new simulated claimsthat can be used in the simulations.

In some examples, the plan simulation and analysis tool 504 can performsimulations associated with a new MSPD 102 being created for a targetplan participant or target group of plan participants based on realclaims previously submitted for the target plan participant(s) under oldpolicies, and/or based on real claims previously submitted for otherplan participants that share one or more characteristics with the targetplan participant(s). In some cases, basing the plan simulation andanalysis tool's simulation on real claims previously submitted for thesame target plan participant(s), and/or other plan participants thatshare similar characteristics, can allow the simulation to generate moreaccurate forecasts for the target plan participant(s) relative tosimulating claims associated with a larger or more general population.In some examples, the plan simulation and analysis tool 504 can ingestdata from one or more external sources to improve its accuracy, such asobtaining demographic or actuarial information about expected groups ofplan participants.

In some examples, the plan simulation and analysis tool 504 can also useresults of real claim adjudications previously performed by the claimadjudications tools 110 during its simulations. For example, over timethe plan simulation and analysis tool 504 can use artificialintelligence and/or machine learning trained on data sets ofadjudication results provided by the claim adjudications tools 110 whengenerating forecasts of cost estimates for a new MSPD 102.

Results of the plan simulation and analysis tool's simulations based onan MSPD 102 can be collected and analyzed to create forecasts thatinclude cost estimates or predictions for how much a benefit plandefined by the MSPD 102 will cost plan participants, a sponsor, and/oran administrator over a given period of time. In some examples, theresults of the simulations can also indicate whether one or more groupsof simulated plan participants are or are not well covered by thebenefit plan defined by the MSPD 102, relative to other benefit plansthat are defined by other MSPDs 102 or that are managed or offered byother administrators. For example, simulation results may indicate thata health plan defined by an MSPD 102 provides good coverage for mostplan participants, but offers less than average coverage for planparticipants with respiratory conditions.

In some examples, the plan simulation and analysis tool 504 can performsimulations for an MSPD 102 based on current regulations and potentialchanges to current regulations. For example, if a local, state, orfederal government is contemplating regulatory changes that may impactadministration of a benefit plan, the plan simulation and analysis tool504 can perform simulations to generate feedback 506 indicating howcosts associated with the benefit plan may change if the regulatorychanges are adopted.

Forecasts and other results of the plan simulation and analysis tool'ssimulations based on an MSPD 102 can be included in feedback 506. Assuch, if simulation results in the feedback 506 indicates that a benefitplan defined by an MSPD 102 does not meet desired goals, such as if itwould cost the administrator more than is desired or does not offer adesired coverage level to some or all plan participants, a user can usesuch user feedback 506 to adjust the MSPD 102 with the plan authoringtool 104 until simulation results from the plan simulation and analysistool 504 indicates that the benefit plan defined by the MSPD 102 islikely to meet the desired goals. In other examples, the plan simulationand analysis tool 504 can provide feedback 506 to the plan authoringtool 104 with recommendations that the plan authoring tool 104 canimplement to automatically edit the MSPD 102. For example, the plansimulation and analysis tool 504 can provide feedback 506 recommendingchanges for the plan authoring tool 104 that would cause the benefitplan defined by the MSPD 102 to meet predefined goals, such asrecommendations for changing attributes 204 of existing plan objects 202or for creating new plan objects 202. As with other types of feedback506, in some examples these recommendations can be determined by theplan simulation and analysis tool 504 using machine learning or anyother technique.

As noted above, in some examples the plan analysis tools 106 can useinformation received from the claim adjudication tools 110 about actualclaims that have been adjudicated in the past as data sets for machinelearning when validating an MSPD 102, determining a risk levelassociated with one or more benefits of a health plan, when simulatingclaims adjudication, and and/or generating recommendations withinfeedback 506. For instance, the plan analysis tools 106 can useregression based on actuarial and/or parametric modeling approaches, orother machine learning based on statistical methods such as kernel-basedregression, time-sensitive Markov modeling, neural networks, and/orother machine learning approaches when performing their analyses of anMSPD 102 or a benefit plan defined by the MSPD 102. These machinelearning algorithms can improve over time as additional claiminformation and/or claims adjudication results are received from theclaim adjudication tools 110.

For example, the plan analysis tools 106 can use machine learning and/orthe other types of analysis described above to generate feedback 506that identifies which benefits of a benefit plan have the highest coststo a sponsor, which benefits are expected to be used most by planparticipants and corresponding cost implications, which types of claimsare most often manually adjudicated and which are most oftenautomatically adjudicated, and/or recommended whether coverage stagesshould be redefined. As another example, machine learning can determineover time which types of claims are likely to be approved or denied,and/or which are likely to contain instances of fraud, waste, or abuse,such that the plan analysis tools 106 can evaluate new or edited MSPDswith that understanding.

FIG. 6 depicts a plan documentation generator 108 using an MSPD 102 andone or more templates 602 to generate one or more plan documents 604. Asexplained above, an MSPD 102 can store information about a benefit planaccording to a DSL in an object-based data structure such as aserialized arrangement or structured hierarchy of JSON objects, withbenefits of the benefit plan being described by various plan objects 202with one or more attributes 204. However, data in a structuredcollection of JSON objects or other object-based data structure may notbe easily read or understood by human readers. However, the plandocumentation generator 108 can be an algorithmic content generationtool that uses a template 602 to convert information from an MSPD 102into a plan document 604 that can be more easily read and understood byhuman readers.

A template 602 can include one or more candidate content elements,including predefined candidate sentences for specific benefits that maybe provided by a benefit plan, candidate sentences with placeholderfields for variables, and/or other content elements. In some examples,the plan documentation generator 108 can assemble content elements froma template 602 that corresponds to specific plan objects 202 and/orattributes 204 of an MSPD 102 into a plan document 604.

In some examples, the plan documentation generator 108 can also modifyor select predefined candidate content elements defined in a template602, or create its own content elements, as needed to create a plandocument 604 using natural language processing. For example, the plandocumentation generator 108 can include a structured natural languageprocessing (SNLP) engine and the templates 602 can be SNLP templates. Inthese examples, the SNLP engine can express selected information from anMSPD 102 using natural language according to an SNLP template. Forexample, rather than expressing the value of an attribute 204 in a fixedplaceholder field, an SNLP template can indicate that the value of theattribute 204 should be expressed using natural language within asentence, possibly with modifications to sentence structure, verb tense,grammar, word choice, and/or any other modifications in order to causethe resulting sentence to be expressed using natural language and/or tocontextually match the style and tone of surrounding content.

Different templates 602 can be provided to generate different types ofplan documents 604 for the same and/or different audiences. Sometemplates 602 can be used to create one or more plan documents 604 forplan participants or potential plan participants of a benefit plandefined by an MSPD 102, while other templates 602 can be used to createone or more plan documents 604 for personnel of a plan sponsor and/orthe administrator. For example, when an MSPD 102 defines a health plan,different templates 602 can be provided to generate a summary plandescription (SPD), summary of benefits coverage (SBC), content for aplan participant portal website that explain the benefits of the healthplan to plan participants, brochures or other advertising materialsabout the health plan, instructions to administrator personnel for howto manually adjudicate claims from medical providers according to thehealth plan, or any other type of plan document 604.

As an example, an MSPD 102 for a health plan can include accumulatorplan objects 304 and cost sharing plan objects 306 for various serviceswith respect to different coverage states. Accordingly, the plandocumentation generator 108 can use a template 602 to generateinstructions for administrator personnel about how to adjudicate a claimfor a particular service during a particular coverage level, byexpressing applicable attributes 204 of corresponding plan objects 202in natural language for the administrator personnel.

The plan documentation generator 108 can use templates 602 to produceplan documents 604 in one or more file formats. For example, the plandocumentation generator 108 can produce one plan document 604 thatdescribes benefits of a benefit plan in HTML code that can be used for aplan participant portal website, as well as another plan document 604that includes the same information in a digital document file, such as aMICROSOFT® Word file or a PDF file, that can be printed or digitallydistributed to plan participants.

In some examples, any of the plan documents 604 produced by the plandocumentation generator 108 can also be accessed by a user of the planauthoring tool 104 during creation of a new MSPD 102 or editing of anexisting MSPD 102. For example, the user of the plan authoring tool 104can review plan documents 604 produced for a new MSPD 102 to understandhow plan documents 604 will explain the benefit plan defined by thatMSPD 102 to other human readers. If desired, the user of the planauthoring tool 104 can make changes to the MSPD 102 in response to howthe automatically generated plan documents 604 explain the benefit plan.

In some cases, the plan documentation generator 108 can produce a set ofplan documents 604 from a new or updated MSPD 102 more quickly thanhuman authors. For instance, in some examples a plan documentationgenerator 108 can use an MSPD 102 and templates 602 to create a set ofplan documents 604 of many different types in seconds or minutes, whilehuman authors might need days or weeks to create a similar set of plandocuments 604. In some examples, the plan documentation generator 108can also reduce computational resources needed to produce plan documents604, relative to computational resources needed by human authors overdays or weeks to create such plan documents 604.

Additionally, use of the plan documentation generator 108 can decreasethe risk of different plan documents 604 containing incorrect orinconsistent information, relative to similar plan documents 604 thatmight be produced by human authors. For example, there is a risk thathuman authors may inadvertently include incorrect or inconsistentinformation in plan documents 604, for instance by introducingtypographical errors, explaining plan benefits incorrectly according tomistaken assumptions or interpretations, forgetting to update values tonew values when a benefit plan is updated, or mistakenly includinginconsistent values for the same benefit in different plan documents604. However, the plan documentation generator 108 can eliminate orreduce such risks because it generates each plan document 604 for aparticular benefit plan from the same underlying information stored inthe same MSPD 102. For example, when a copay amount for a particularbenefit is updated in an attribute 204 of an MSPD's plan object 202, theplan documentation generator 108 can quickly produce a new set ofmultiple plan documents 604 for one or more audiences that consistentlyreflect that new copay amount based on the value of the attribute 204.This can accordingly reduce the time and/or computational resourcesneeded to manually fix inconsistencies and/or verify that various plandocuments 604 contain consistent information.

FIG. 7 depicts claim adjudication tools 110 being used to adjudicate aclaim 702. Claim adjudication tools can include an adjudication typedecision tool 704, a manual adjudication queue 706, an automaticadjudication system 708, an accounting system 710, a messaging system712, and a data collection system 714.

In some examples, a claim 702 can be a claim submitted to anadministrator of a benefit plan from a provider, such as a claim 702from a medical provider for the cost of specific medical servicesrendered to a plan participant of a health plan. In other examples, aclaim 702 can be a claim submitted to an administrator of a benefit planfrom a plan participant, such as a request for reimbursement for thecost of services that the plan participant paid for out of pocket, arequest for the administrator or a sponsor to pay for a serviceaccording to a benefit, or a request to apply a payment amount from theplan participant to a service provided according to a benefit. Inaddition, some claims 702 may be submitted on a regular basis, such asclaims 702 submitted weekly, monthly, or annually without respect toactual services being rendered, such as a claims 702 related to asubscription to a health application.

A new claim 702 can first be routed to an adjudication type decisiontool 704. The adjudication type decision tool 704 can review one or moreattributes of the claim 702 to determine if the claim 702 should berouted into the manual adjudication queue 706 or should be routed intothe automatic adjudication system 708. As will be explained below,claims 702 routed to the manual adjudication queue 706 can be manuallyadjudicated by personnel of the administrator, while claims 702 routedto the automatic adjudication system 708 can be automaticallyadjudicated based on the MSPD 102. In some examples, the automaticadjudication system 708 can adjudicate a claim 702 more quickly thanmanual adjudication, thereby reducing the time and computationalresources needed to adjudicate a claim 702.

In some examples, the adjudication type decision tool 704 can determinewhere to route a claim 702 based on one or more predetermined policiesor contractual agreements. As one example, an administrator policy orcontractual agreement associated with a health plan can indicate thatclaims 702 associated with certain benefits should be manually reviewed,such as claims 702 for benefits related to child or baby care,investigational care, emergency services, claims 702 for planparticipants over the age of 65, or claims 702 for plan participantspreviously flagged as being high risk. Accordingly, if the adjudicationtype decision tool 704 determines that a claim 702 meets such a policy,it can route the claim 702 to the manual adjudication queue 706. Asanother example, an administrator policy can indicate that claims 702for a dollar value that exceeds a particular threshold should bemanually reviewed, and accordingly the adjudication type decision tool704 can route such claims 702 to the manual adjudication queue 706.

In some examples, the adjudication type decision tool 704 can determinewhere to route a claim 702 based on artificial intelligence that canrecognize claims 702 that have a higher likelihood of being fraudulent,containing errors, or having other issues for which manual adjudicationmay be preferred to automatic adjudication. For example, serviceproviders may accidentally fill in a claim submission form improperly,and the adjudication type decision tool can accordingly be configured torecognize corresponding errors in the submitted claim. The adjudicationtype decision tool 704 can be configured to route claims 702 that itdetermines are be more likely to be fraudulent, contain errors, or haveother issues to the manual adjudication queue 706 rather than theautomatic adjudication system 708. For example, the adjudication typedecision tool 704 can use machine learning to, over time, determinewhich types of claims 702 are more likely to be fraudulent and should berouted to the manual adjudication queue 706. The operations of theadjudication type decision tool 704 can be based on statisticalanalysis, multi-armed bandit machine learning, A/B testing, or any othertype of artificial intelligence or machine learning, such as statisticalregression, Markov modeling, or neural networks.

In one example, machine learning algorithms can be trained based on A/Btesting in which claims 702 are routed through both the manualadjudication queue 706 and the automatic adjudication system 708. Whenthe A/B testing reveals that certain types of claims 702 are more likelyto be rejected based on manual adjudication relative to automaticadjudication, the machine learning algorithms can be trained torecognize those types of claims 702 as more likely to be fraudulent. Theadjudication type decision tool 704 can accordingly route those types ofclaims 702 to the manual adjudication queue 706 in the future. In someexamples, a multi-armed bandit algorithm can be used to route a largepercentage of claims 702 to one or the other of the manual adjudicationqueue 706 and the automatic adjudication system 708 according topreviously determined machine learning algorithms, while a smallerpercentage of claims 702 are routed to both the manual adjudicationqueue 706 and the automatic adjudication system 708 for continuedtraining of the machine learning algorithms according to comparisons ofmanual adjudication results against the automatic adjudication results.

As another example, machine learning algorithms can determine over timewhich types of claims 702 are relatively common and which are relativelyrare, and route rarer types of claims 702 to the manual adjudicationqueue 708. For instance, the machine learning algorithms can learn overtime that claims 702 from medical providers for a single spine injectionare relatively common, but claims 702 for fifty spine injections are outof the ordinary and should be routed to the manual adjudication queue706. In some examples, the machine learning algorithms may alsodetermine over time which plan participants or service providers aremost often associated with unusual types of claims 702, and accordinglyroute their claims 702 to the manual adjudication queue 708.

In some examples, the adjudication type decision tool 704 can determinewhere to route a claim 702 based on capabilities of the automaticadjudication system 708. For example, adjudication type decision tool704 can determine if the automatic adjudication system 708 is configuredto automatically adjudicate a particular type of claim 702, and if soroute that claim 702 to the adjudication type decision tool 704. In someexamples, the automatic adjudication system 708 can return any claims702 it is not configured to handle back to the adjudication typedecision tool 704 so that the adjudication type decision tool 704 canupdate its knowledge of which types of claims the automatic adjudicationsystem 708 is not configured to handle, and the adjudication typedecision tool 704 can instead route the claim 702 to the manualadjudication queue 706. In other examples, the automatic adjudicationsystem 708 can directly pass any claims 702 it is not configured toprocess to the manual adjudication queue 706.

A claim 702 routed to the manual adjudication queue 706 can be manuallyreviewed and adjudicated by personnel of the administrator, such as ahuman claim adjudicator. In some examples, the personnel of theadministrator can use a plan document 604 generated from an MSPD 102 bythe plan documentation generator 108 according to a template 602 whenadjudicating the claim 702, because the plan document 604 can describerules or procedures for adjudicating claims 702 with respect toparticular benefits of a benefit plan defined by the MSPD 102.

A claim 702 routed to the automatic adjudication system 708 can beautomatically adjudicated based on an MSPD 102. In some examples, theautomatic adjudication system 708 can use information about a planparticipant, such a subscriber identifier or member number, included ina claim 702 to load an MSPD 102 that defines the benefit plan associatedwith that plan participant, and then automatically adjudicate the claim702 according to information in the MSPD 102. As discussed above, anMSPD 102 for a benefit plan can include various plan objects 202 withattributes 204 that define aspects of the benefit plan, includingcoverage levels for various benefits and services at one or morecoverage stages. The automatic adjudication system 708 can accordinglyuse the information in plan objects 202 that correspond to servicesidentified in a claim 702 to adjudicate the claim 702.

For example, automatic claim adjudication can involve determining if aplan participant is covered by a benefit plan defined by an MSPD 102,whether services identified in the claim 702 are covered by benefits ofthe benefit plan at a current coverage stage, approving or denying theclaim 702, and/or determining which portion of the cost of each serviceis to be paid by the plan participant and which portion of the cost isto be paid by the sponsor or administrator. An example process forautomatically adjudicating a claim 702 with the automatic adjudicationsystem 708 is described below with respect to FIG. 12. As discussedabove, the processes described herein for automatically adjudicatingreal claims 702 with the automatic adjudication system 708 can also beused by the plan simulation and analysis tool 504 to adjudicatesimulated claims 702 during its simulations. In some examples, if it isnot clear which plan object 202 applies to a particular serviceidentified in a claim 702, the automatic adjudication system 708 can usemachine learning to determine which plan object 202 applies to theservice. For example, if a claim 702 includes a code for a service thatdoes not correspond to any plan object 202 in the MSPD 102, but manualadjudications in the past that have most often adjudicated claims forthat code or service according to a specific benefit that doescorrespond to a plan object 202 in the MSPD 102, the automaticadjudication system 708 can adjudicate the claim 702 according to thatplan object 202 even if the code does not directly match an attribute204 of that plan object 202. In other examples, when the automaticadjudication system 708 finds a code in a claim 702 that it does notrecognize or that does not correspond to a plan object 202, theautomatic adjudication system 708 can send the claim 702 to the manualadjudication queue 706 and/or inform the plan analysis tools 106 toupdate a list of known codes so that a plan validation and analysis tool502 can determine when new or existing MSPDs 102 do not include planobjects 202 corresponding to the new code.

In some examples, the automatic adjudication system 708 can use a set ofpreprogrammed computer-executable instructions to automaticallyinterpret and/or compile one or more plan objects 202 of a particularMSPD 102 into a new set of computer-executable instructions that theautomatic adjudication system 708 can follow to adjudicate claims 702according to that MSPD 102. Accordingly, the automatic adjudicationsystem 708 can automatically interpret or compile information from anyMSPD 102 into new computer-executable instructions for adjudicatingclaims 702 according to a corresponding benefit plan, without requiringa programmer to manually reprogram the automatic adjudication system 708to handle a new or updated benefit plan. This can save time, money, andeffort compared to conventional automatic adjudication systems.

For example, as shown in FIG. 8, the automatic adjudication system 708can use preset code to identify relationships between plan objects 202within an MSPD 102, such as relationships between a cost sharing planobject 306 for a particular service and related accumulator plan objects304 identified by that cost sharing plan object 306. The automaticadjudication system 708 can generate a parse graph 802 based on the MSPD102 with nodes representing plan objects 202 and arcs between the nodesrepresenting relationships between the plan objects 202. The automaticadjudication system 708 can then use the parse graph 802 to generate alist 804 of computer-executable instructions in Python or any otherdesired programming language, or compiled code, that can be run toautomatically adjudicate a claim 702. For example, a parse graph 802generated from an MSPD 102 can indicate relationships between a costsharing plan object 306 and multiple accumulator plan objects 304 thatindicate that the cost of a particular rendered service should beapplied to accumulators for an individual deductible, to a familydeductible, and towards individual and/or family out-of-pocket maximums.The automatic adjudication system 708 can accordingly generate a list804 of computer-executable instructions, or compiled code, that appliesa plan participant's share of the cost to those identified accumulatorsduring automatic claim adjudication.

In some examples, the determination by the automatic adjudication system708 of whether a claim 702 is approved or rejected, and any cost sharingdeterminations applicable to the claim 702, can be considered final, andcan be output to the accounting system 710, messaging system 712, and/ordata collection system 714 as discussed below. However, in otherexamples some or all results of the automatic adjudication system 708can be sent to the manual adjudication queue 706 to be approved ordouble checked by human reviewers before they are finalized.

If manual adjudication, or the automatic adjudication system 708,determines that a plan participant and/or the sponsor or administratoris liable for portions of the cost of a service identified in a claim702 according to a particular benefit, the results of the adjudicationcan be passed to the accounting system 710. The accounting system 710can generate bills for the plan participant, track whether bills havebeen paid, can pay providers who submitted claims, and/or perform anyother billing or accounting operation.

The messaging system 712 can send messages to recipients outside theplan administration system 100. In some examples, the messaging system712 can send messages to plan participants, such as messages thatinclude bills generated by the accounting system 710 or messages thatindicate whether claims 702 have been approved or denied. In otherexamples, the messaging system 712 can send messages to a provider whosubmitted a claim 702, such as a message indicating that a claim 702 hasbeen approved or denied, or that more information is needed from theprovider before a claim 702 can be adjudicated.

The data collection system 714 can collect results of the manual orautomatic adjudication of claims 702, as well as information from theaccounting system 710 and/or messaging system 712 regarding how claims702 have been processed. These collected results can be stored for lateranalysis. In some examples, the data collection system 714 can sendcollected results to the plan analysis tools 106 for use as a data setwhen validating new or edited MSPDs 102 or when simulating theperformance of new or edited MSPDs 102, as described above.

Example Architecture

FIG. 9 illustrates an example system architecture for computing devicesthat can implement a plan administration system 100. Although FIG. 9depicts elements of a plan administration system 100 together, in someexamples the elements shown in FIG. 9 can be distributed among multiplecomputing devices, such as multiple servers. As shown, one or morecomputing devices for a plan administration system 100 can includememory 902 that stores the plan authoring tool 104, the plan analysistools 106, the plan documentation generator 108, the claim adjudicationtools 110, constraints 404, templates 602, an MSPD database 904, anadjudication results database 906, a plan participant database 908,and/or other modules and data 910. The one or more computing devices canalso include processor(s) 912, communication interfaces 914, displays916, output devices 918, input devices 920, and/or drive units 922 thatinclude a machine readable medium 924.

In various examples, memory 902 can include system memory, which may bevolatile (such as RAM), non-volatile (such as ROM, flash memory, etc.)or some combination of the two. Memory 902 can further includenon-transitory computer-readable media, such as volatile andnonvolatile, removable and non-removable media implemented in any methodor technology for storage of information, such as computer readableinstructions, data structures, program modules, or other data. Systemmemory, removable storage, and non-removable storage are all examples ofnon-transitory computer-readable media. Examples of non-transitorycomputer-readable media include, but are not limited to, RAM, ROM,EEPROM, flash memory or other memory technology, CD-ROM, digitalversatile disks (DVD) or other optical storage, magnetic cassettes,magnetic tape, magnetic disk storage or other magnetic storage devices,or any other non-transitory medium which can be used to store desiredinformation and which can be accessed by the plan administration system100. Any such non-transitory computer-readable media may be part of theplan administration system 100.

Memory 902 of one or more computing devices of the plan administrationsystem 100 can store code, such as computer-executable instructions, forthe plan authoring tool 104, the plan analysis tools 106, the plandocumentation generator 108, and the claim adjudication tools 110described above. In some examples, the memory 902 can also store rulesand/or machine learning models used by the plan analysis tools 106, theplan documentation generator 108, the claim adjudication tools 110, orany other element of the plan administration system 100, as well asconstraints 404 used by the plan authoring tool 104, templates 602 usedby the plan documentation generator 108. The memory 902 can also storean MSPD database 904 that can store MSPDs 102 generated by the planauthoring tool 104, an adjudication results database 906 that can storecollected results of claims adjudications, and a plan participantdatabase 908 that can use identifying information about planparticipants to identify which benefit plans and/or MSPDs 102 areassociated with specific plan participants as well as trackingaccumulators associated with individual plan participants throughout theterm of a benefit plan. The memory can further store other modules anddata 910 that can be used to perform or enable performing any otheraction taken by the plan administration system 100. The other modulesand data 910 can include a platform and applications associated with theplan administration system 100, and data utilized by the platform andapplications.

In various examples, the processor(s) 912 can be a central processingunit (CPU), a graphics processing unit (GPU), or both CPU and GPU, orany other type of processing unit. Each of the one or more processor(s)912 may have numerous arithmetic logic units (ALUs) that performarithmetic and logical operations, as well as one or more control units(CUs) that extract instructions and stored content from processor cachememory, and then executes these instructions by calling on the ALUs, asnecessary, during program execution. The processor(s) 912 may also beresponsible for executing all computer applications stored in the memory902, which can be associated with common types of volatile (RAM) and/ornonvolatile (ROM) memory.

The communication interfaces 914 can include transceivers, modems,interfaces, and/or other components that perform or assist in exchangingdata between elements of the plan administration system 100 and/or withoutside elements. For example, the communication interfaces 914 can beused to receive claims 702 from providers and/or to send messages fromthe messaging system 712 to providers or plan participants.

A display 916 can be a liquid crystal display or any other type ofdisplay used in computing devices, or a connection to an externaldisplay. In some examples, a display 916 can be a touch-sensitivedisplay screen, and can accordingly also act as an input device 920.

Output devices 918 can include any sort of output devices known in theart, such as a display 916 or speakers. Output devices 918 can alsoinclude ports for one or more peripheral devices, such as headphones,peripheral speakers, and/or a peripheral display.

Input devices 920 can include any sort of input devices known in theart, such as a microphone, a keyboard, and/or a touch-sensitive display,such as the touch-sensitive display screen described above.

The machine readable medium 924 can store one or more sets ofinstructions, such as software or firmware, that embodies any one ormore of the methodologies or functions described herein. Theinstructions can also reside, completely or at least partially, withinthe memory 902, processor(s) 912, and/or communication interface(s) 914during execution thereof by the plan administration system 100. Thememory 902 and the processor(s) 912 can also constitute machine readablemedia 924.

Example Operations

FIG. 10 depicts a flow chart of an example process for creating and/orediting a benefit plan defined by an MSPD 102.

At block 1002, the plan authoring tool 104 can accept user input 402from a user regarding parameters of a benefit plan. As described above,the UI can present predetermined options for such user input 402, and/orallow users to manually input information or adjust the predeterminedoptions. In some examples, constraints 404 can restrict or limit thetypes or values of provided user input 402.

At block 1004, the plan authoring tool 104 can generate and output anMSPD 102 that defines the benefit plan. As described above, an MSPD 102can include plan objects 202 and attributes 204 that define the benefitplan. In some examples, the plan authoring tool 104 can use a schemastack to translate the provided user input 402 and/or any otherinformation, into an MSPD 102 according to a DSL. An output MSPD 102 canbe stored in an MSPD database 704 or other memory location.

At block 1006, the plan analysis tools 106 can operate on the MSPD 102to validate the benefit plan, determine risk levels associated with thebenefit plan, simulate performance of the benefit plan, generaterecommendations for how to improve aspects of the benefit plan, or anyother type of analysis.

At block 1008, feedback 506 generated from the analysis performed by theplan analysis tools 106 during block 1006 can be provided to a user or acomponent of the plan administration system 100. In some examples, theuser can review that feedback 506, instruct the plan authoring tool 104to load the MSPD 102, and then edit the benefit plan via new user inputto the plan authoring tool 104 in order to adjust the attributes 204 ofthe MSPD 102 according to the feedback 506. The edited MSPD 102 can begenerated and stored at block 1004 and analyzed again at block 1006. Theuser can review new feedback 506 provided at block 1008 and determinewhether to make further changes to the benefit plan at block 1002.Alternately, or additionally, the plan analysis tools 106 can suggestmodifications to an MSPD 102 within feedback 506 provided directly tothe plan authoring tool 104, which the plan authoring tool 104 canimplement so that the MSPD 102 and the benefit plan it defines meetspredefined goals.

FIG. 11 depicts a flow chart of an example process for generating plandocuments with the plan documentation generator 108 based on an MSPD102.

At block 1102, an MSPD 102 can be loaded from a memory location into theplan documentation generator 108.

At block 1104, a template 602 can be loaded from a memory location intothe plan documentation generator 108.

At block 1106, the plan documentation generator 108 can generate a plandocument 604 that expresses information about the benefit plan definedby the MSPD 102 according to the template 602. For example, the plandocumentation generator 108 can use the template 602 to express selectedtypes of information from the MSPD 102 in natural language that can bemore easily read or understood by a human reader relative to reading theMSPD 102.

If other templates 602 exist for other types of plan documents 604, theplan documentation generator 108 can return to block 1104 and load adifferent template 602 in order to generate a different plan document604 based on the same MSPD 102. Accordingly, the plan documentationgenerator 108 can generate multiple plan documents 604 of differenttypes or for different audiences from the same MSPD 102 using differenttemplates 602.

FIG. 12 depicts a flow chart of an example process for automaticallyadjudicating a claim 702 with the automatic adjudication system 708.

At block 1202, the automatic adjudication system 708 can receive a claim702 from a provider or other source. The claim 702 can identify the planparticipant for which the claim 702 is being submitted, as well asidentifying one or more services and those cost of those services. Insome examples, a claim 702 can identify bundles of services or episodesof care rather than identifying each individual rendered service. Forexample, a medical provider can include information in a claim 702 thatidentifies a plan participant by name and/or by an identificationnumber, such as a social security number, member number, or insurancepolicy number, and codes or other identifiers of medical services orepisodes of care that the medical provider rendered to the planparticipant.

At block 1204, the automatic adjudication system 708 can determine ifthe plan participant identified in the claim 702 is covered by a benefitplan defined by an MSPD 102 that is administered by the administrator.For example, the automatic adjudication system 708 can look up a membernumber or plan participant name specified in a claim 702 within a planparticipant database 908 in an attempt to identify a corresponding MSPD102. If the automatic adjudication system 708 can cannot find an MSPD102 associated with the plan participant at block 1204, the automaticadjudication system 708 can reject the claim from automatic adjudicationat block 1206, such as by rejecting the claim 702 entirely, passing itto the manual adjudication queue 706, or sending a message to the entitythat submitted the claim 702 or the administrator via the messagingsystem 712 indicating that plan participant or benefit plan could not befound. However, if the automatic adjudication system 708 can find anMSPD 102 associated with the plan participant at block 1204, theautomatic adjudication system 708 can retrieve that MSPD 102 from adatabase or other memory location and proceed to block 1208.

At block 1208, the automatic adjudication system 708 can use informationin a plan participant database 908 to look up current values foraccumulators associated with the plan participant, such as how close theplan participant is to meeting various deductibles and/or out-of-pocketmaximums for the current term of a health plan. The retrievedaccumulator values can be used to determine a current coverage stage,such as determining that the plan participant is at a coverage stage inwhich the plan participant is only liable for a coinsurance percentageof the cost of certain services because the plan participant's share ofcosts have passed a deductible amount but have not yet reached anout-of-pocket maximum. In other examples, the automatic adjudicationsystem 708 may not explicitly determine the plan participant's currentcoverage stage and may adjudicate a claim 702 with respect to allpossible coverage stages based on current accumulator values, but useaccumulator limits in accumulator plan objects 208 can indicate thatcost sharing parameters applicable to certain coverage stages should orshould not be applied.

At block 1210, the automatic adjudication system 708 can find planobjects 202 in the MSPD 102 that corresponds to the services or episodesof care identified in the claim 702. For example, a claim 702 for adoctor's office visit may include codes identifying that three serviceswere rendered during the doctor's office visit, and the automaticadjudication system 708 can find a cost sharing plan object 306associated with each of those service codes. In some examples, multipleservice instances that relate to the same service covered by the samebenefit can be grouped together for adjudication. As described above, insome examples machine learning can be used to determine which planobject 202 applies to a service if it is not otherwise clear which planobject 202 applies to that service.

At block 1212, for each identified service or episode of care, theautomatic adjudication system 708 can use the attributes 204 of thecorresponding plan object 202 to adjudicate the claim 702 with respectto that service. Adjudicating the claim 702 can include determiningwhether the benefit plan defined by the MSPD 102 includes a cost sharingobject 306 that covers that service, what portions of the provider'scost the plan participant is liable for and the benefit plan'sadministrator is liable for, whether any accumulators for the planparticipant should be incremented based on a plan participant's share ofthe cost up to limits defined in corresponding accumulator plan objects304, and/or any other information. In some examples, the automaticadjudication system 708 can evaluate a claim 702 at all possiblecoverage stages that may or may not apply, such as determining that costsharing parameters associated with a first coverage stage do not applybecause the plan participant has reached a first accumulator limit,applying cost sharing parameters associated with a second coverage stagefor a first portion of the cost up until a second accumulator limit isreached, and then applying cost sharing parameters associated with athird coverage stage for the remainder of the cost.

As an example, when a claim 702 includes a code for a non-preventativeoffice visit, and a corresponding cost sharing plan object 306 has anattribute 204 indicating that the plan participant is liable for a $20copay for such a non-preventative office visit at a particular coveragestage, the automatic adjudication system 708 can approve the claim anddetermine that the plan participant is liable for $20 and that thehealth plan will cover the remainder of the cost of the office visit.The automatic adjudication system 708 increment one or morecorresponding accumulators for the plan participant by $20 in the planparticipant database 908. If the plan participant's share of the cost ismore than a value that would cause an accumulator to reach a limit, thecost up until that limit can be evaluated under a first set of costsharing attributes 204 associated with one coverage stage, with theremainder of the cost being evaluated under a second set of cost sharingattributes 204 associated with a subsequent coverage stage.

As another example, when a claim 702 includes a code for bariatricsurgery, but a corresponding cost sharing plan object 306 has anattribute 202 indicating that the benefit plan does not cover bariatricsurgery, the claim 702 can be rejected by the automatic adjudicationsystem 708.

In some examples, during adjudication at block 1212 the automaticadjudication system 708 can determine the coverage stage of the planparticipant at the time a service was rendered. For example, a planobject 202 may have attributes 204 indicate that there is one value fora copay amount related to a service at a coverage stage when the planparticipant has not yet paid the full value of an annual deductible, buta lower value for that same copay amount after the plan participant haspaid the full annual deductible amount. Accordingly, the automaticadjudication system 708 can track or determine the coverage stage of aplan participant to determine which corresponding attribute 204 shouldbe used when adjudicating a claim 702 for that plan participant.

After block 1212, if any additional services were identified in theclaim 702, the automatic adjudication system 708 can return to block1210 to find a plan object 202 associated with that service andadjudicate the claim 702 with respect to that service at block 1212.

At block 1214, the automatic adjudication system 708 can output theresults of its adjudication of the claim 702 to other elements of theclaims adjudication tools 110, such as the accounting system 710, themessaging system 712, and/or the data collection system 714.

Example Clauses

A. A computer-implemented method comprising: receiving user input at aplan authoring tool, the user input describing one or more parameters ofone or more benefits of a benefit plan; translating, by the planauthoring tool, the user input into a machine structured plandescription (MSPD) that represents the one or more benefits as planobjects of the MSPD; loading the MSPD and a template into a plandocumentation generator, the template corresponding to a document typeand a document format; and generating, by the plan documentationgenerator, a plan document associated with the benefit plan byconverting information in one or more of the plan objects into naturallanguage according to the template.

B. The computer-implemented method as paragraph A recites, wherein thetemplate is configured such that the plan document is generated ascontent that explains the one or more benefits to a plan participant ofthe benefit plan or a potential plan participant.

C. The computer-implemented method as paragraph B recites, wherein thecontent is electronic content for a website for the plan participant orthe potential plan participant.

D. The computer-implemented method as paragraph B recites, wherein thecontent is generated in a printable form for printing and physicaldistribution to the plan participant or the potential plan participant.

E. The computer-implemented method as any of paragraphs A-D recite,wherein the template is configured such that the plan document isgenerated as a set of claims adjudication rules that instruct a claimsadministrator how to manually adjudicate a submitted claim according tothe benefit plan defined by the MSPD.

F. The computer-implemented method as any of paragraphs A-E recite,further comprising generating feedback regarding the benefit plandefined by the MSPD prior to generating the plan document.

G. The computer-implemented method as paragraph F recites, wherein thefeedback is based on determining whether the MSPD meets one or morevalidation conditions.

H. The computer-implemented method as paragraph F recites, wherein thefeedback is based on outcomes of simulations that automaticallyadjudicate simulated claims according to the MSPD.

I. The computer-implemented method as paragraph H recites, wherein thesimulated claims are generated at least in part on real claims that havebeen adjudicated in the past.

J. The computer-implemented method as paragraph F recites, furthercomprising displaying the feedback to a user of the plan authoring tool,receiving additional user input at the plan authoring tool in responseto the feedback, and editing the MSPD according to the additional userinput.

K. The computer-implemented method as paragraph F recites, furthercomprising automatically editing the MSPD at the plan authoring toolaccording to the feedback.

L. The computer-implemented method as paragraph F recites, wherein thefeedback includes recommendations for editing the MSPD that aregenerated based at least in part on machine learning.

M. A plan administration system comprising: a plan authoring tool thataccepts user input describing one or more parameters of one or morebenefits of a benefit plan and translates the user input into a machinestructured plan description (MSPD) that represents the one or morebenefits as plan objects of the MSPD; and a plan documentation generatorthat uses a template corresponding to a document type and a documentformat to generate a plan document associated with the benefit plan byconverting information in one or more of the plan objects of the MSPDinto natural language according to the template.

N. The plan administration system as paragraph M recites, wherein thetemplate is configured such that the plan document is generated ascontent that explains the one or more benefits to a plan participant ofthe benefit plan or a potential plan participant.

O. The plan administration system as any paragraphs M or N recite,wherein the template is configured such that the plan document isgenerated as a set of claims adjudication rules that instruct a claimsadministrator how to manually adjudicate a submitted claim according tothe benefit plan defined by the MSPD.

P. The plan administration system as any paragraphs M-O recite, furthercomprising one or more plan analysis tools configured to generatefeedback regarding the benefit plan defined by the MSPD prior togenerating the plan document based on at least one of 1) whether theMSPD meets one or more validation condition, and 2) outcomes ofsimulations that automatically adjudicate simulated claims according tothe MSPD.

Q. One or more non-transitory computer-readable media storingcomputer-executable instructions that, when executed by one or moreprocessors, cause the one or more processors to perform operationscomprising: receiving user input describing one or more parameters ofone or more benefits of a benefit plan; translating the user input intoa machine structured plan description (MSPD) that represents the one ormore benefits as plan objects of the MSPD; loading a templatecorresponding to a document type and a document format; and generating aplan document associated with the benefit plan by converting informationin one or more of the plan objects into natural language according tothe template.

R. The non-transitory computer-readable media as paragraph Q recites,wherein the operations further comprise generating feedback regardingthe benefit plan defined by the MSPD prior to generating the plandocument.

S. The non-transitory computer-readable media as paragraph R recites,wherein the feedback is based on determining whether the MSPD meets oneor more validation conditions.

T. The non-transitory computer-readable media as paragraph R recites,wherein the feedback is based on outcomes of simulations thatautomatically adjudicate simulated claims according to the MSPD.

U. A computer-implemented method comprising: receiving user input at aplan authoring tool, the user input describing one or more parameters ofone or more benefits of a benefit plan; translating, by the planauthoring tool, the user input into a machine structured plandescription (MSPD) that represents the one or more benefits as planobjects of the MSPD; receiving a claim submitted by an entity, the claimidentifying a service rendered for a plan participant covered by thebenefit plan; determining that the claim qualifies for automaticadjudication by an automatic claim adjudication system; finding, by theautomatic claim adjudication system, a plan object of the MSPD thatcorresponds to the service; determining, by the automatic claimadjudication system, that the plan object indicates that the benefitplan covers at least a portion of a cost of the service; calculating, bythe automatic claim adjudication system, a first portion of the cost forwhich the plan participant is liable and a second portion of the costfor which a non-participant entity is liable; and outputting, by theautomatic claim adjudication system, a result indicating at least one ofthe first portion of the cost or the second portion of the cost.

V. The computer-implemented method as paragraph U recites, wherein thenon-participant entity is a sponsor of the benefit plan or anadministrator that operates the plan authoring tool and the automaticclaim adjudication system.

W. The computer-implemented method as any of paragraphs U or V recite,further aggregating the result with other results of other automaticand/or manual claim adjudications to generate an aggregated result, andproviding the aggregated result to one or more plan analysis tools.

X. The computer-implemented method as paragraph W recites, wherein theone or more plan analysis tools are configured to use the aggregatedresult to evaluate new MSPDs generated by the plan authoring tool.

Y. The computer-implemented method as any of paragraphs U-X recite,wherein the automatic claim adjudication system calculates the firstportion of the cost and the second portion of the cost by determiningone or more accumulator values associated with the plan participant andapplying cost sharing attributes of the plan object that are applicableto corresponding coverage stages.

Z. The computer-implemented method as any of paragraphs U-Y recite,wherein determining that the claim qualifies for automatic adjudicationby the automatic claim adjudication system comprises determining thatthe claim is for an amount that is less than a threshold amount.

AA. The computer-implemented method as any of paragraphs U-Z recite,wherein determining that the claim qualifies for automatic adjudicationby the automatic claim adjudication system comprises determining thatthe service or the plan participant has not been flagged for manualadjudication.

BB. The computer-implemented method as any of paragraphs U-AA recite,wherein determining that the claim qualifies for automatic adjudicationby the automatic claim adjudication system comprises using machinelearning to determine that automatic adjudication is likely to producethe same result as manual adjudication.

CC. The computer-implemented method as paragraph BB recites, wherein themachine learning is based on adjudication results of previous claimsassociated with the type of the service and determines that the claimqualifies for automatic adjudication when at least a thresholdpercentage of manual adjudications and automatic adjudications of theprevious claims produced the same result.

DD. The computer-implemented method as any of paragraphs U-CC recite,wherein information in the MSPD is expressed using a domain-specificlanguage.

EE. The computer-implemented method as any of paragraphs U-DD recite,wherein the automatic claim adjudication system interprets the MSPDusing a parse graph to generate a list of instructions for automaticallyadjudicating the claim according to the benefit plan.

FF. A plan administration system comprising: a plan authoring tool thataccepts user input describing one or more parameters of one or morebenefits of a benefit plan and translates the user input into a machinestructured plan description (MSPD) that represents the one or morebenefits as plan objects of the MSPD; and a claim adjudication systemconfigured to: receive a claim submitted by an entity, the claimidentifying a service rendered for a plan participant covered by thebenefit plan; determine that the claim qualifies for automaticadjudication, find a plan object of the MSPD that corresponds to theservice, determine that the plan object indicates that the benefit plancovers at least a portion of a cost of the service; calculate a firstportion of the cost for which the plan participant is liable and asecond portion of the cost for which a non-participant entity is liable;and output a result indicating at least one of the first portion of thecost or the second portion of the cost.

GG. The plan administration system as paragraph FF recites, wherein theautomatic claim adjudication system calculates the first portion of thecost and the second portion of the cost by determining one or moreaccumulator values associated with the plan participant and applyingcost sharing attributes of the plan object that are applicable tocorresponding coverage stages.

HH. The plan administration system as any of paragraphs FF or GG recite,wherein determining that the claim qualifies for automatic adjudicationby the automatic claim adjudication system comprises at least one of: 1)determining that the claim is for an amount that is less than athreshold amount, 2) determining that the service or the planparticipant has not been flagged for manual adjudication, or 3) usingmachine learning to determine that automatic adjudication is likely toproduce the same result as manual adjudication.

II. The plan administration system as any of paragraphs FF-HH recite,wherein information in the MSPD is expressed using a domain-specificlanguage.

JJ. The plan administration system as any of paragraphs FF-II recite,wherein the automatic claim adjudication system interprets the MSPDusing a parse graph to generate a list of instructions for automaticallyadjudicating the claim according to the benefit plan.

KK. One or more non-transitory computer-readable media storingcomputer-executable instructions that, when executed by one or moreprocessors, cause the one or more processors to perform operationscomprising: receiving user input describing one or more parameters ofone or more benefits of a benefit plan; translating the user input intoa machine structured plan description (MSPD) that represents the one ormore benefits as plan objects of the MSPD; receiving a claim submittedby an entity, the claim identifying a service rendered for a planparticipant covered by the benefit plan; determining that the claimqualifies for automatic adjudication; finding a plan object of the MSPDthat corresponds to the service; determining that the plan objectindicates that the benefit plan covers at least a portion of a cost ofthe service, calculating a first portion of the cost for which the planparticipant is liable and a second portion of the cost for which anon-participant entity is liable; and outputting a result indicating atleast one of the first portion of the cost or the second portion of thecost.

LL. The non-transitory computer-readable media as paragraph KK recites,wherein the first portion of the cost and the second portion of the costare calculated by determining one or more accumulator values associatedwith the plan participant and applying cost sharing attributes of theplan object that are applicable to corresponding coverage stages.

MM. The non-transitory computer-readable media as any of paragraphs KKor LL recite, wherein determining that the claim qualifies for automaticadjudication comprises at least one of: 1) determining that the claim isfor an amount that is less than a threshold amount, 2) determining thatthe service or the plan participant has not been flagged for manualadjudication, or 3) using machine learning to determine that automaticadjudication is likely to produce the same result as manualadjudication.

NN. The non-transitory computer-readable media as any of paragraphsKK-MM recite, wherein calculating the first portion of the cost and thesecond portion of the cost comprises interpreting the MSPD using a parsegraph to generate a list of instructions for automatically adjudicatingthe claim according to the benefit plan and calculating the firstportion of the cost and the second portion of the cost using the list ofinstructions.

While paragraphs A-L and U-EE are described above with respect tomethods, it is understood in the context of this document that thecontent of paragraphs A-L and U-EE may also be implemented via systems,devices, and/or computer-readable media. While paragraphs M-P and FF-JJare described above with respect to systems, it is understood in thecontext of this document that the content of paragraphs M-P and FF-JJmay also be implemented via methods, devices, and/or computer-readablemedia. While paragraphs Q-T and KK-NN are described above with respectto computer-readable media, it is understood in the context of thisdocument that the content of paragraphs Q-T and KK-NN may also beimplemented via methods, systems, and/or devices.

Conclusion

Although the subject matter has been described in language specific tostructural features and/or methodological acts, it is to be understoodthat the subject matter is not necessarily limited to the specificfeatures or acts described above. Rather, the specific features and actsdescribed above are disclosed as example embodiments.

What is claimed is:
 1. A computer-implemented method comprising:loading, by a plan documentation generator executing viacomputer-executable instructions on one or more computing devices, amachine structured plan description (MSPD) that defines a benefit plan,wherein the MSPD is an object-based data structure comprising aplurality of plan objects that express attributes of a plurality ofbenefits of the benefit plan using a domain-specific language; loading,by the plan documentation generator, a plurality of templates associatedwith multiple audiences, wherein individual ones of the plurality oftemplates correspond to at least one of different document types ordifferent document formats; and automatically generating, by the plandocumentation generator, using the MSPD and based on the plurality oftemplates, a plurality of plan documents associated with the benefitplan by: determining content elements defined by the plurality oftemplates; identifying particular plan objects of the MSPD thatcorrespond with the content elements; identifying selected attributes,associated with the particular plan objects that correspond with thecontent elements, indicating attribute data expressed in thedomain-specific language in the MSPD; determining natural languagedescriptions of the selected attributes, based on correspondingattribute data in the MSPD expressed in the domain-specific language;and incorporating the natural language descriptions into document datadefined by the plurality of templates, wherein at least one of theplurality of plan documents is generated at least in part by using astructured natural language processing (SNLP) engine to modify one ormore of the natural language descriptions or corresponding document datato contextually match within the at least one of the plurality of plandocuments, and wherein automatic generation of the plurality of plandocuments based on the attribute data expressed in the domain-specificlanguage in the MSPD causes the natural language descriptions indifferent plan documents, of the plurality of plan documents, todescribe information about the benefit plan relevant to the multipleaudiences consistently.
 2. The computer-implemented method of claim 1,wherein the multiple audiences includes plan participants of the benefitplan and potential plan participants of the benefit plan, and at leastone of the plurality of templates is configured to cause the plandocumentation generator to generate a plan document of the plurality ofplan documents as content that explains at least one of the plurality ofbenefits to the plan participants or the potential plan participants. 3.The computer-implemented method of claim 2, wherein the content iselectronic content for a web site for the plan participants or thepotential plan participants.
 4. The computer-implemented method of claim2, wherein the content is generated in a printable form for printing andphysical distribution to the plan participants or the potential planparticipants.
 5. The computer-implemented method of claim 1, wherein themultiple audiences includes claims administrators, and the plurality oftemplates is configured to cause the plan documentation generator togenerate a plan document of the plurality of plan documents as a set ofclaims adjudication rules that instruct the claims administrators how tomanually adjudicate a submitted claim according to the benefit plandefined by the MSPD.
 6. The computer-implemented method of claim 1,further comprising: loading, by the plan documentation generator, asecond MSPD that defines a revised version of the benefit plan, whereinthe second MSPD is a second object-based data structure comprising asecond plurality of plan objects that expresses revised attributes ofthe plurality of benefits of the benefit plan using the domain-specificlanguage; and automatically generating, by the plan document generator,using the second MSPD and based on the plurality of templates, a secondplurality of plan documents associated with the revised version of thebenefit plan by: identifying second particular plan objects of thesecond MSPD that correspond with the content elements of the pluralityof templates; identifying second selected attributes, associated withthe second particular plan objects of the second MSPD, that correspondwith the content elements; determining revised natural languagedescriptions of the second selected attributes, based on correspondingsecond attribute data in the MSPD expressed in the domain-specificlanguage; and incorporating the revised natural language descriptionsinto the document data defined by the plurality of templates, whereinautomatic generation of the second plurality of plan documents based onthe attribute data expressed in the domain-specific language in thesecond MSPD causes the revised natural language descriptions indifferent revised plan documents, of the second plurality of plandocuments, to describe the information about the benefit plan relevantto the multiple audiences consistently.
 7. The computer-implementedmethod of claim 1, further comprising: receiving, by an automatic claimadjudication system executing on the one or more computing devices,claim data identifying a service rendered for a plan participant;identifying, by the automatic claim adjudication system, one or more ofthe plurality of plan objects of the MSPD that correspond to theservice; and automatically adjudicating, by the automatic claimadjudication system, the claim data based on the one or more of theplurality of plan objects of the MSPD that correspond to the service. 8.One or more computing devices comprising: one or more processors; memorystoring computer-executable instructions that, when executed by the oneor more processors, cause the one or more processors to performoperations comprising: loading a machine structured plan description(MSPD) that defines a benefit plan, wherein the MSPD is an object-baseddata structure comprising a plurality of plan objects that expressattributes of a plurality of benefits of the benefit plan using adomain-specific language; loading a plurality of templates associatedwith multiple audiences, wherein individual ones of the plurality oftemplates correspond to at least one of different document types ordifferent document formats; and automatically generating, using the MSPDand based on the plurality of templates, a plurality of plan documentsassociated with the benefit plan by: determining content elementsdefined by the plurality of templates; identifying particular planobjects of the MSPD that correspond with the content elements;identifying selected attributes, associated with the particular planobjects that correspond with the content elements, indicating attributedata expressed in the domain-specific language in the MSPD; determining,natural language descriptions of the selected attributes, based oncorresponding attribute data in the MSPD expressed in thedomain-specific language; and incorporating the natural languagedescriptions into document data defined by the plurality of templates,wherein at least one of the plurality of plan documents is generated atleast in part by using a structured natural language processing (SNLP)engine to modify one or more of the natural language descriptions orcorresponding document data to contextually match within the at leastone of the plurality of plan documents, and wherein automatic generationof the plurality of plan documents based on the attribute data expressedin the domain-specific language in the MSPD causes the natural languagedescriptions in different plan documents, of the plurality of plandocuments, to describe information about the benefit plan relevant tothe multiple audiences consistently.
 9. The one or more computingdevices of claim 8, wherein the multiple audiences includes planparticipants of the benefit plan and potential plan participants of thebenefit plan, and at least one of the plurality of templates isconfigured to cause a plan document of the plurality of plan documentsto be generated as content that explains at least one of the pluralityof benefits to plan participants or the potential plan participants. 10.The one or more computing devices of claim 9, wherein the content iselectronic content for a website for the plan participants or thepotential plan participants.
 11. The one or more computing devices ofclaim 8, wherein the multiple audiences includes claims administrators,and the plurality of templates is configured to cause a plan document ofthe plurality of plan documents to be generated as a set of claimsadjudication rules that instruct the claims administrators how tomanually adjudicate a submitted claim according to the benefit plandefined by the MSPD.
 12. The one or more computing devices of claim 8,wherein the operations further comprise: loading a second MSPD thatdefines a revised version of the benefit plan, wherein the second MSPDis a second object-based data structure comprising a second plurality ofplan objects that expresses revised attributes of the plurality ofbenefits of the benefit plan using the domain-specific language; andautomatically generating, using the second MSPD and based on theplurality of templates, a second plurality of plan documents associatedwith the revised version of the benefit plan by: identifying secondparticular plan objects of the second MSPD that correspond with thecontent elements of the plurality of templates; identifying secondselected attributes, associated with the second particular plan objectsof the second MSPD, that correspond with the content elements;determining revised natural language descriptions of the second selectedattributes, based on corresponding second attribute data in the MSPDexpressed in the domain-specific language; and incorporating the revisednatural language descriptions into the document data defined by theplurality of templates, wherein automatic generation of the secondplurality of plan documents based on the attribute data expressed in thedomain-specific language in the second MSPD causes the revised naturallanguage descriptions in different revised plan documents, of the secondplurality of plan documents, to describe the information about thebenefit plan relevant to the multiple audiences consistently.
 13. Theone or more computing devices of claim 8, wherein the operations furthercomprise: receiving claim data identifying a service rendered for a planparticipant; identifying one or more of the plurality of plan objects ofthe MSPD that correspond to the service; and automatically adjudicatingthe claim data based on the one or more of the plurality of plan objectsof the MSPD that correspond to the service.
 14. One or morenon-transitory computer-readable media storing computer-executableinstructions that, when executed by one or more processors, cause theone or more processors to perform operations comprising: loading amachine structured plan description (MSPD) that defines a benefit plan,wherein the MSPD is an object-based data structure comprising aplurality of plan objects that express attributes of a plurality ofbenefits of the benefit plan using a domain-specific language; loading aplurality of templates associated with multiple audiences, whereinindividual ones of the plurality of templates correspond to at least oneof different document types or different document formats; andautomatically generating, using the MSPD and based on the plurality oftemplates, a plurality of plan documents associated with the benefitplan by: determining content elements defined by the plurality oftemplates; identifying particular plan objects of the MSPD thatcorrespond with the content elements; identifying selected attributes,associated with the particular plan objects that correspond with thecontent elements, indicating attribute data expressed in thedomain-specific language in the MSPD; determining natural languagedescriptions of the selected attributes, based on correspondingattribute data in the MSPD expressed in the domain-specific language;and incorporating the natural language descriptions into document datadefined by the plurality of templates, wherein at least one of theplurality of plan documents is generated at least in part by using astructured natural language processing (SNLP) engine to modify one ormore of the natural language descriptions or corresponding document datato contextually match within the at least one of the plurality of plandocuments, and wherein automatic generation of the plurality of plandocuments based on the attribute data expressed in the domain-specificlanguage in the MSPD causes the natural language descriptions indifferent plan documents, of the plurality of plan documents, todescribe information about the benefit plan relevant to the multipleaudiences consistently.
 15. The one or more non-transitorycomputer-readable media of claim 14, wherein the multiple audiencesincludes plan participants of the benefit plan and potential planparticipants of the benefit plan, and at least one of the plurality oftemplates is configured to cause a plan document of the plurality ofplan documents to be generated as content that explains at least one ofthe plurality of benefits to the plan participants or the potential planparticipants.
 16. The one or more non-transitory computer-readable mediaof claim 14, wherein the multiple audiences includes claimsadministrators, and the plurality of templates is configured to cause aplan document of the plurality of plan documents to be generated as aset of claims adjudication rules that instruct the claims administratorshow to manually adjudicate a submitted claim according to the benefitplan defined by the MSPD.
 17. The one or more non-transitorycomputer-readable media of claim 14, wherein the operations furthercomprise: loading a second MSPD that defines a revised version of thebenefit plan, wherein the second MSPD is a second object-based datastructure comprising a second plurality of plan objects that expressesrevised attributes of the plurality of benefits of the benefit planusing the domain-specific language; and automatically generating, usingthe second MSPD and based on the plurality of templates, a secondplurality of plan documents associated with the revised version of thebenefit plan by: identifying second particular plan objects of thesecond MSPD that correspond with the content elements of the pluralityof templates; identifying second selected attributes, associated withthe second particular plan objects of the second MSPD, that correspondwith the content elements; determining revised natural languagedescriptions of the second selected attributes, based on correspondingsecond attribute data in the MSPD expressed in the domain-specificlanguage; and incorporating the revised natural language descriptionsinto the document data defined by the plurality of templates, whereinautomatic generation of the second plurality of plan documents based onthe attribute data expressed in the domain-specific language in thesecond MSPD causes the revised natural language descriptions indifferent revised plan documents, of the second plurality of plandocuments, to describe the information about the benefit plan relevantto the multiple audiences consistently.
 18. The one or morenon-transitory computer-readable media of claim 14, wherein theoperations further comprise: receiving claim data identifying a servicerendered for a plan participant; identifying one or more of theplurality of plan objects of the MSPD that correspond to the service;and automatically adjudicating the claim data based on the one or moreof the plurality of plan objects of the MSPD that correspond to theservice.
 19. The computer-implemented method of claim 1, whereindetermining at least some of the natural language descriptions of theselected attributes comprises using the SNLP engine to convert thecorresponding attribute data expressed in the domain-specific languageinto the natural language descriptions.
 20. The computer-implementedmethod of claim 1, wherein determining at least some of the naturallanguage descriptions of the selected attributes comprises selecting oneor more predetermined natural language descriptions, defined by theplurality of templates, that correspond with the corresponding attributedata expressed in the domain-specific language.